Development of IoT based human distancing alert system for COVID-19 awareness

Annuar, Nuratikah (2021) Development of IoT based human distancing alert system for COVID-19 awareness. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

The new coronavirus (2019-Cov), which first appeared in Wuhan, China in December 2019, quickly spread throughout Hubei province, eventually reaching all of China’s provinces and being exported to over 20 nations by January 30, 2020. COVID-19 has been posing a threat to the planet since the end of 2019. Until an effective vaccine is found, it is believed that the globe will have to fight the COVID-19 pandemic with caution. Social distancing is a recommended solution by the World Health Organization (WHO) to minimize the spread of COVID-19 in public places. Most governments and national health authorities have set the 1-metre physical distancing as a mandatory safety measure in shopping centers, schools, and other covered areas. This project proposes a solution based on Development of Smart IoT Human Distancing Alert System using ESP32 CAM and Blynk. By using the internet, the project can be controlled and monitored remotely and receive notifications over Wi-Fi to smartphones. This project consist of three main components: Arduino UNO, Ultrasonic sensor and ESP32 CAM. This system using suitable sensors that useful in human presence detection. The system will alert the user using alarm if the user is stay below 1- metre from another person. By using the ESP32-CAM it will recognize either the detection is human or object then it will warn the user about distancing. This IoT based project also connecting to Blynk to send notification for authorities, parents or guardians, as well as recording the activities for the day.

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